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Sphere is looking for an AI engineer to help build out its proprietary Tax Review and Assessment Model (TRAM) across jurisdictions and other compliance areas. You will be pushing the frontiers of what's possible with AI in the finance space and building the core piece of technology that shape the future of Sphere.
Job Responsibility:
Lead development of new features aimed at increasing TRAM’s test-time accuracy
Work on the underlying data and retrieval pipelines that help power our AI workflows
Work directly with our internal tax experts to understand how TRAM can better reason like them
Own TRAM’s eval framework and workflows
Work directly with leading frontier labs to reinforce fine tune models on our proprietary data
Requirements:
Prior experience building AI enabled products, particularly RAG systems
Experience fine tuning base models, ideally via RFT
Willingness to dive into tax technical problems
A strong understanding of how LLMs and reasoning models function
6+ years experience
US citizen/visa only
Nice to have:
Experience working with LLMs on legal applications
Experience with RAG data pipelines and collecting/curating data for the pipeline